Square Support Vector Machine (LS-SVM)
Hybrid Simulation of a Frame Equipped with MR Damper by Utilizing Least Square Support Vector Machine
... In hybrid simulation, the structure is divided into numerical and physical substructures to achieve more accurate responses in comparison to a full computational analysis. As a consequence of the lack of test facilities ...
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An implementation of least square support vector machine (LS-SVM) for rehabilitation bio-signal analysis using surface electromyography (SEMG) signal
... xi LIST OF ABBREVIATIONS LS-SVM - Least Square Support Vector Machine SVM - Support Vector Machine k-NN - K nearest Neighbour ANN - Artificial Neural Network RBF Radial Basis Function LB[r] ...
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Support Vector Machine and Least Square Support Vector Machine Stock Forecasting Models
... the Support Vector Machine and Least Square Support Vector Machine models in stock ...(GARCH), Support Vector Regression (SVR) and Least Square ...
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Medium term load forecasting using evolutionary programming least square support vector machine
... Least Square Support Vector Machine (EP-LSSVM) was proposed to forecast medium term load demand due to its good performance in generalization, optimization, ability to avoid local minimum and ...
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Diabetes Prediction using Linear Regression, Decision Tree & Least Square Support Vector Machine
... ABSTRACT: Machine learning algorithms will facilitate us to sight the onset endocrinology or diabetes ...numerous machine learning ...Least Square Support Vector Machine is ...
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Modeling of Corrosion-Fatigue Crack Growth Rate Based on Least Square Support Vector Machine Technique
... least square support vector machine (LSSVM) framework is employed for prediction of FCG behavior of three different alloys including, Ti-6Al-4V alloy and two Cu-strengthened high strength low ...
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Self organizing map and least square support vector machine method for river flow modelling
... Suykens et al. (2005) introduced a revolution of SVM called Least Square Support Vector Machine (LSSVM) to encounter the SVM quadratic programming problem. The LSSVM encompasses similar ...
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A Hybrid Method of Least Square Support Vector Machine and Bacterial Foraging Optimization Algorithm for Medium Term Electricity Price Forecasting
... Least Square Support Vector Machine (LSSVM) was developed in this study to provide an accurate electricity price forecast with optimized LSSVM parameters and input ...
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The Application of Least Square Support Vector Machine as a Mathematical Algorithm for Diagnosing Drilling Effectivity in Shaly Formations
... Least Square Support Vector Machines Suykens and Vandewalle proposed a modified version of SVM called least square SVM (LS-SVM) [45]. Like SVM, LS-SVM has application in both regression and ...
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Multi-Output Least Square Support Vector Machine for the Reconstruction of Perfect Electric Conductor Below Rough Surface
... by support vector machine (SVM), a multi-output least square SVM (LS-SVM) algorithm is proposed to reconstruct the position of a 2-D perfect electric conductor (PEC) cylinder below a rough ...
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Empirical mode decomposition with least square support vector machine model for river flow forecasting
... As this study will provide the information of the future river flow value based on past time series data, it is required for the proposed model of EMD-KPCA-LSSVM to forecast the monthl[r] ...
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A hybrid model of self organizing maps and least square support vector machine for river flow forecasting
... Abstract. Successful river flow forecasting is a major goal and an essential procedure that is necessary in water resource planning and management. There are many forecasting tech- niques used for river flow forecasting. ...
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Intelligent Robotic Inspection System Using Image Processing Technique
... From the results of k-NN classification, it is observed that for k=3, 5 maximum accuracies are obtained. Further for the k=7, maximum accuracy as well as appropriate computational time is obtained. For four different ...
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A novel method of BFOA LSSVM for electricity price forecasting
... Least Square Support Vector Machine (LSSVM) with Bacterial Foraging Optimization Algorithm (BFOA) to predict daily electricity prices in ...
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Application of Wavelet Denoising and Artificial Intelligence Models for Stream Flow Forecasting
... Least Square Support Vector Machine (LSSVM) and Artificial Neural Network (ANN), former one as a persuasive forecasting tool and the latter as a novel neural network technique were employed ...
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Developing enhanced classification methods for ECG and EEG signals
... three machine learning techniques: multilayer perceptron neural networks (MLP), least square support vector ma- chine (LS-SVM), and logistic regression (LR) are employed for the classifi- ...
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Current Status Investigation and Predicting Carbon Dioxide Emission in Latin American Countries by Connectionist Models
... (Least Square Support Vector Machine) and evolutionary methods are employed for predicting the amount of CO2 emission in six Latin American countries, ...
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Breast Cancer Diagnosis by CAD
... Breast cancer diagnosis using least square support vector machine Diagnose Breast Cancer through Mammograms Using EABCO Algorithm Evaluation of Breast Cancer with a ComputerAided Detecti[r] ...
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Determination of Compressive Strength of Concrete by Statistical Learning Algorithms
... e.g. support vector machine (SVM) [1, 2], least square support vector machine (LSSVM) [3], and relevance vector machine (RVM) [4] have been ...
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Forgery Detection of Spliced Images Using Machine Learning Classifiers and color Illumination
... using machine learning classifiers Support Vector Machine and Least Square Support Vector Machine and Perceptron with the help of color ...
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